Triple
T14672138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henning Larsen |
E344539
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Larsen |
E272819
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Larsen | Statement: [Henning Larsen, familyName, Larsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larsen Context triple: [Henning Larsen, familyName, Larsen]
-
A.
Larsen
chosen
Larsen is a surname of Scandinavian origin borne by numerous notable individuals across fields such as literature, music, and sports.
-
B.
Nellallitea Larsen
Nellallitea Larsen was an American novelist and key figure of the Harlem Renaissance, best known for her works exploring race, identity, and gender such as "Passing" and "Quicksand."
-
C.
Lindberg
Lindberg is a small municipality in the Regen district of Bavaria, Germany, known for its location in the Bavarian Forest region.
-
D.
Lársen
Lársen is a variant spelling of the surname Larsen, a common Scandinavian family name typically meaning "son of Lars."
-
E.
Thwaites
Thwaites is a surname most prominently associated with Australian actor Brenton Thwaites, known for his roles in film and television.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb55064cc8190b9669d0b2da61825 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde17a39b88190b144b6cfcc61a4b8 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:27 a.m.